Predictive analytics can facilitate proactive property vacancy policies for cities-Reference-Cited by-同舟云学术

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Predictive analytics can facilitate proactive property vacancy policies for cities

Published:2014-11 Issue: Volume:89 Page:161-173
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Appel Sheila U.,Botti Derek,Jamison James,Plant Leslie,Shyr Jing Y.,Varshney Lav R.

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference30 articles.

1. IBM's Smarter Cities Challenge Syracuse Report;IBM,2011

2. Why the Garden Club Couldn't Save Youngstown: The Transformation of the Rust Belt;Safford,2009

3. Spatial analysis of the impact of vacant, abandoned and foreclosed properties;Mikelbank,2008

4. Addressing the vacant and abandoned property problem;Accordino;J. Urban Aff.,2000

5. Abandoned housing: exploring lessons from Baltimore;Cohen;Hous. Policy Debate,2001

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4. Crime and specific vacancy types in smaller cities and towns;Criminal Justice Studies;2021-11-26

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